Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning

Sustaining users' interest and keeping them engaged in the platform is very important for the success of an e-commerce business. A session encompasses different activities of a user between logging into the platform and logging out or making a purchase. User activities in a session can be classified into two groups: Known Intent and Unknown intent. Known intent activity pertains to the session where the intent of a user to browse/purchase a specific product can be easily captured. Whereas in unknown intent activity, the intent of the user is not known. For example, consider the scenario where a user enters the session to casually browse the products over the platform, similar to the window shopping experience in the offline setting. While recommending similar products is essential in the former, accurately understanding the intent and recommending interesting products is essential in the latter setting in order to retain a user. In this work, we focus primarily on the unknown intent setting where our objective is to recommend a sequence of products to a user in a session to sustain their interest, keep them engaged and possibly drive them towards purchase. We formulate this problem in the framework of the Markov Decision Process (MDP), a popular mathematical framework for sequential decision making and solve it using Deep Reinforcement Learning (DRL) techniques. However, training the next product recommendation is difficult in the RL paradigm due to large variance in browse/purchase behavior of the users. Therefore, we break the problem down into predicting various product attributes, where a pattern/trend can be identified and exploited to build accurate models. We show that the DRL agent provides better performance compared to a greedy strategy

The Characteristics, Experiences and Perceptions of Registered Massage Therapists in New Zealand: Results from a National Survey of Practitioners

Background: Massage therapy is widely recognized as offering many health benefits, with a growing number of studies finding it has value in stress management, pain reduction, and overcoming physical limitations. However, there are few studies of massage therapists practices and perceptions in New Zealand and internationally. This paper reports the findings from the first national survey examining the characteristics, perceptions, and experiences of New Zealand-based massage therapists on a range of aspects related to their role and practices.Purpose: This study sought to ascertain the characteristics, experiences, and perceptions of massage therapists in New Zealand, particularly in the aspects of: integration of health care; attitudes and practices related to research; and evidence and attitudes to registration.Setting: Massage practice in New Zealand (nationwide survey).Participants: Members of Massage New Zealand (a massage practitioners association).Research Design: Massage practitioners were surveyed online, using a 65-part questionnaire, on a range of characteristics of their practices and their attitudes to research, integration, and registration. Statistical analysis was performed using STATA. Statistical significance was set at 0.05.Main Outcome Measures: Four hundred massage therapists (MTs) were invited to participate and 115 responded, providing a response rate of 29%. MTs valued research (95%) and perceived that it had an impact for their practices (88%). Significant correlations were found for research value and: mean case-load (p = .009) and level of academic qualification (p = .004). The majority of MTs (79%) supported integration with conventional practitioners, and 83% referred clients to general practitioners, with 75% receiving referrals from general practitioners. Ninety-three percent of MTs supported registration, with 67% of those supporting statutory registration.Conclusion: Massage practitioners perceive that they make a significant contribution to health care, but area of practice, such as research, and referral and integration into mainstream health care require more in-depth investigation

International Nosocomial Infection Control Consortiu (INICC) report, data summary of 43 countries for 2007-2012. Device-associated module

We report the results of an International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2007-December 2012 in 503 intensive care units (ICUs) in Latin America, Asia, Africa, and Europe. During the 6-year study using the Centers for Disease Control and Prevention's (CDC) U.S. National Healthcare Safety Network (NHSN) definitions for device-associated health care–associated infection (DA-HAI), we collected prospective data from 605,310 patients hospitalized in the INICC's ICUs for an aggregate of 3,338,396 days. Although device utilization in the INICC's ICUs was similar to that reported from ICUs in the U.S. in the CDC's NHSN, rates of device-associated nosocomial infection were higher in the ICUs of the INICC hospitals: the pooled rate of central line–associated bloodstream infection in the INICC's ICUs, 4.9 per 1,000 central line days, is nearly 5-fold higher than the 0.9 per 1,000 central line days reported from comparable U.S. ICUs. The overall rate of ventilator-associated pneumonia was also higher (16.8 vs 1.1 per 1,000 ventilator days) as was the rate of catheter-associated urinary tract infection (5.5 vs 1.3 per 1,000 catheter days). Frequencies of resistance of Pseudomonas isolates to amikacin (42.8% vs 10%) and imipenem (42.4% vs 26.1%) and Klebsiella pneumoniae isolates to ceftazidime (71.2% vs 28.8%) and imipenem (19.6% vs 12.8%) were also higher in the INICC's ICUs compared with the ICUs of the CDC's NHSN